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Minnesota vs Chicago: 1st Half Winner
kalshi

Who will win Minnesota vs Chicago (1st Half)?

Volume:
$254,936

Minnesota wins 1st Half

 - Kalshi

Minnesota wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 20, 2026

Closed: Sep 20, 2:43 PM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Minnesota wins 1st Half

View
100%
Yes 100¢No 0¢
100¢
N/A
$91,041
N/A
N/A
$54,738
Settled
Yes
kalshi

Chicago wins 1st Half

0%
Yes 0¢No 100¢
100¢
N/A
$92,945
N/A
N/A
$64,521
Settled
No
kalshi

Tie 1st Half

0%
8%
Yes 0¢No 100¢
100¢
N/A
$70,950
N/A
N/A
$46,188
Settled
No
Total markets: 3

Description

Two professional football teams, Minnesota and Chicago, will compete in a game on September 20, 2026. The market focuses on determining which team will lead at the end of the first half by scoring the most points during that period.

Kalshi

The market resolves based on the outcome of the first half of the Minnesota vs Chicago Pro Football game scheduled for September 20, 2026. If Chicago scores the most points in the first half, the 'Chicago wins 1st Half' market resolves to Yes. If Minnesota scores the most points, the 'Minnesota wins 1st Half' market resolves to Yes. If both teams score equally, the 'Tie 1st Half' market resolves to Yes, and all team-specific markets resolve to No. Only points scored during the first half count, and the markets are independent of the overall game result.

Frequently asked questions

Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which are set by professionals. Sportsbooks may incorporate factors like public perception or promotional offers into their lines, while this market relies on individuals directly expressing their beliefs through trades. If a significant discrepancy exists between prediction market probabilities and sportsbook odds, it could indicate an opportunity for arbitrage, though transaction costs and market liquidity should be considered. It’s common to see convergence as the event approaches, but differences can persist due to varying information and analytical approaches.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about the outcome. The price of a contract reflects the probability of that outcome occurring, with higher prices indicating greater perceived likelihood. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders set the odds by placing bids and asks, and the market price fluctuates based on supply and demand. The current market price represents the aggregated assessment of all participants, providing a real-time estimate of the first-half winner’s probability. This dynamic pricing mechanism allows for rapid adjustments to new information.

This market resolves around Sep 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the first half of the Minnesota vs Chicago game, as officially recorded by sports authorities, will determine the settlement of this market. The resolution will be based on the official game statistics and results, ensuring a transparent and objective determination of the winner. Traders should monitor official sources for confirmation of the final result and subsequent market settlement.

Several signals could influence this market before resolution. Any news regarding player injuries, changes in team lineups, or coaching strategies could significantly shift the perceived probabilities. Unexpected weather conditions, particularly if they favor one team’s playing style, could also impact the market. Furthermore, significant betting activity or large trades on Kalshi itself can create momentum and drive price movements. Public sentiment, as reflected in polls or expert analysis, might also play a role, though the market’s own dynamics are the primary driver of price discovery.